Software Alternatives, Accelerators & Startups

Scikit-learn VS SyncWith for Google Sheets

Compare Scikit-learn VS SyncWith for Google Sheets and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

SyncWith for Google Sheets logo SyncWith for Google Sheets

Data from any app into Google Sheets, reports & dashboards
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • SyncWith for Google Sheets Landing page
    Landing page //
    2023-08-24

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

SyncWith for Google Sheets videos

No SyncWith for Google Sheets videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Scikit-learn and SyncWith for Google Sheets)
Data Science And Machine Learning
Analytics
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

Share your experience with using Scikit-learn and SyncWith for Google Sheets. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and SyncWith for Google Sheets

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

SyncWith for Google Sheets Reviews

We have no reviews of SyncWith for Google Sheets yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than SyncWith for Google Sheets. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of SyncWith for Google Sheets. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
View more

SyncWith for Google Sheets mentions (2)

  • Magically import Moonbirds NFT sales into Google Sheets using Sort
    The Sort API allows us to look at individual blockchain transactions, or even perform millisecond aggregations (average, sum, etc, useful for charting). We'll focus on the individual transactions, and to simplify the tutorial, we'll use a Google Sheets plugin called SyncWith, useful for sending API calls and storing the result in a Google Sheet. - Source: dev.to / about 2 years ago
  • How do people spot the new Slowly stamps - before they reach the Stores? [ Tool link inside ]
    Thanks to B.'s helpful suggestions, we started experimenting with Google Sheets, which DO the job if we use a wonderful Add-On called SyncWith that allows API importing. And -- this spreadsheet can be updated once a day even for free users. Source: over 2 years ago

What are some alternatives?

When comparing Scikit-learn and SyncWith for Google Sheets, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Stein - Use Google Sheets as your no-setup database

OpenCV - OpenCV is the world's biggest computer vision library

Sheetson - Instantly turn any Google Sheet into RESTful API

NumPy - NumPy is the fundamental package for scientific computing with Python

Sheet 2 Site - Generate a website from 📗 Google Sheets